{"id":"https://openalex.org/W2107556798","doi":"https://doi.org/10.1109/tase.2009.2013198","title":"Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties","display_name":"Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties","publication_year":2009,"publication_date":"2009-05-11","ids":{"openalex":"https://openalex.org/W2107556798","doi":"https://doi.org/10.1109/tase.2009.2013198","mag":"2107556798"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2009.2013198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2009.2013198","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042115176","display_name":"Jing Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zhong","raw_affiliation_strings":["Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA","Dept. of Ind. & Oper. Eng., Univ. of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Dept. of Ind. & Oper. Eng., Univ. of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022416209","display_name":"Jianjun Shi","orcid":"https://orcid.org/0000-0002-3774-9176"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianjun Shi","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046295078","display_name":"Junnan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.C.F. Wu","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4597,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.8951812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"2","first_page":"266","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.7207532525062561},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5429359078407288},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.542468249797821},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5184928178787231},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4928138554096222},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.45338571071624756},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.43685054779052734},{"id":"https://openalex.org/keywords/online-model","display_name":"Online model","score":0.4226323962211609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4193421006202698},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.37507545948028564},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.32742759585380554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12932130694389343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09768539667129517},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07247504591941833}],"concepts":[{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.7207532525062561},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5429359078407288},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.542468249797821},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5184928178787231},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4928138554096222},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.45338571071624756},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.43685054779052734},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.4226323962211609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4193421006202698},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.37507545948028564},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.32742759585380554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12932130694389343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09768539667129517},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07247504591941833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2009.2013198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2009.2013198","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W29277684","https://openalex.org/W236410074","https://openalex.org/W651150315","https://openalex.org/W1535787399","https://openalex.org/W1993283744","https://openalex.org/W2046052877","https://openalex.org/W2078458683","https://openalex.org/W2092288826","https://openalex.org/W2107556798","https://openalex.org/W2113741278","https://openalex.org/W2474350117","https://openalex.org/W2993740710"],"related_works":["https://openalex.org/W2550134632","https://openalex.org/W1548362067","https://openalex.org/W2000675896","https://openalex.org/W1027657725","https://openalex.org/W2165750643","https://openalex.org/W2638730922","https://openalex.org/W3155069932","https://openalex.org/W2752220042","https://openalex.org/W2036048170","https://openalex.org/W2107556798"],"abstract_inverted_index":{"Robust":[0],"parameter":[1],"design":[2,61,161],"(RPD)":[3],"has":[4,69],"been":[5,70],"widely":[6],"used":[7],"as":[8],"a":[9],"cost-effective":[10],"tool":[11,46],"in":[12,18],"quality":[13],"control":[14,67,75,147,152],"to":[15,25,33],"reduce":[16],"variability,":[17],"which":[19,114],"the":[20,27,58,87,97,107,116,119,124,131,134],"controllable":[21],"factors":[22,52],"are":[23,39,111],"set":[24],"minimize":[26],"variability":[28],"of":[29,60,62,86,90,118,169],"response":[30],"variables":[31],"due":[32],"noise":[34,51,91,109],"factors,":[35],"assuming":[36],"their":[37],"distributions":[38],"known.":[40],"It":[41],"is":[42,139,181,192],"essentially":[43],"an":[44,195],"offline":[45],"without":[47],"considering":[48],"that":[49,102,128,164],"some":[50],"can":[53,172],"be":[54],"measured":[55],"online.":[56],"Recently,":[57],"concept":[59],"experiment":[63],"(DOE)-based":[64],"automatic":[65,165],"process":[66,74,175],"(APC)":[68],"proposed":[71,190],"for":[72],"online":[73,88,108,157],"based":[76],"on":[77],"regression":[78,104],"models":[79,105],"obtained":[80],"from":[81],"DOE":[82],"and":[83,106,133,149,159,180],"with":[84,100,167],"consideration":[85,168],"measurement":[89,110],"factors.":[92],"The":[93,137,154,189],"existing":[94],"literature":[95],"investigates":[96],"DOE-based":[98,125,186],"APC":[99,126,143,158,187],"assumption":[101],"both":[103,130,170],"precisely":[112],"known,":[113],"limits":[115],"applicability":[117],"technique.":[120],"This":[121],"paper":[122],"develops":[123],"scheme":[127],"considers":[129],"observation":[132],"modeling":[135],"uncertainties.":[136],"controller":[138,166],"implemented":[140],"under":[141],"two":[142],"strategies,":[144],"i.e.,":[145],"cautious":[146],"strategy":[148],"certainty":[150],"equivalence":[151],"strategy.":[153],"comparison":[155],"among":[156],"robust":[160],"approaches":[162],"demonstrates":[163],"uncertainties":[171],"achieve":[173],"better":[174],"performance":[176],"than":[177,184],"conventional":[178],"design,":[179],"more":[182],"stable":[183],"normal":[185],"controllers.":[188],"approach":[191],"illustrated":[193],"using":[194],"industrial":[196],"process.":[197]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
